Implementation of Latency by Using Distributed Load Balancing Algorithm for Logistics

Abstract

Cloud computing provides a data center at any location in the world. There are so many resources used in a distributed data center that a logistics suppliers and users can buy, sell and rent like execution time, bandwidth, cost, storage and memory. The logistics suppliers and users do not need to know where the data center is located and how to operate or maintain their resources by using cloud computing. They only need to know how to connect to these resources and use of applications needed to perform their jobs. Many companies want to services by using its own local data centers. In logistics information system, information sharing, transfer mode of information using cloud service provider to different logistics partners is a big challenge. Every logistics user wants that information sharing should be in real time within minimum cost. The number of logistics partners and logistics users is growing and they need services for balancing the network traffic and load. The paper has different sections as follows: Section 2 discusses related works. Section 3 discusses scheduling and load balancing algorithms. Section 4 provides our proposed algorithm’s design. Section 5 provides experimental result and performance analysis. Section 6 concludes our research work and future work.

Keywords: Cloud Computing, Logistics information system, Load balancing algorithms, DSBP